Overview

Dataset statistics

Number of variables31
Number of observations150000
Missing cells19168
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.5 MiB
Average record size in memory248.0 B

Variable types

Numeric27
Categorical4

Warnings

offerType has constant value "0" Constant
name is highly correlated with v_1 and 2 other fieldsHigh correlation
regDate is highly correlated with price and 4 other fieldsHigh correlation
model is highly correlated with v_14High correlation
price is highly correlated with regDate and 4 other fieldsHigh correlation
v_0 is highly correlated with regDate and 7 other fieldsHigh correlation
v_1 is highly correlated with name and 2 other fieldsHigh correlation
v_2 is highly correlated with v_5 and 3 other fieldsHigh correlation
v_3 is highly correlated with regDate and 4 other fieldsHigh correlation
v_4 is highly correlated with v_9 and 1 other fieldsHigh correlation
v_5 is highly correlated with v_0 and 3 other fieldsHigh correlation
v_6 is highly correlated with name and 2 other fieldsHigh correlation
v_7 is highly correlated with v_0 and 3 other fieldsHigh correlation
v_8 is highly correlated with regDate and 4 other fieldsHigh correlation
v_9 is highly correlated with v_4 and 1 other fieldsHigh correlation
v_10 is highly correlated with name and 3 other fieldsHigh correlation
v_11 is highly correlated with v_0 and 3 other fieldsHigh correlation
v_12 is highly correlated with regDate and 4 other fieldsHigh correlation
v_13 is highly correlated with v_4 and 1 other fieldsHigh correlation
v_14 is highly correlated with modelHigh correlation
name is highly correlated with v_1 and 3 other fieldsHigh correlation
regDate is highly correlated with price and 5 other fieldsHigh correlation
power is highly correlated with price and 2 other fieldsHigh correlation
price is highly correlated with regDate and 7 other fieldsHigh correlation
v_0 is highly correlated with regDate and 8 other fieldsHigh correlation
v_1 is highly correlated with name and 3 other fieldsHigh correlation
v_2 is highly correlated with regDate and 5 other fieldsHigh correlation
v_3 is highly correlated with regDate and 6 other fieldsHigh correlation
v_4 is highly correlated with v_5 and 2 other fieldsHigh correlation
v_5 is highly correlated with power and 4 other fieldsHigh correlation
v_6 is highly correlated with name and 3 other fieldsHigh correlation
v_7 is highly correlated with v_2High correlation
v_8 is highly correlated with regDate and 5 other fieldsHigh correlation
v_9 is highly correlated with v_4 and 2 other fieldsHigh correlation
v_10 is highly correlated with name and 4 other fieldsHigh correlation
v_11 is highly correlated with name and 4 other fieldsHigh correlation
v_12 is highly correlated with regDate and 5 other fieldsHigh correlation
v_13 is highly correlated with v_4 and 2 other fieldsHigh correlation
regDate is highly correlated with price and 3 other fieldsHigh correlation
price is highly correlated with regDate and 4 other fieldsHigh correlation
v_0 is highly correlated with price and 3 other fieldsHigh correlation
v_1 is highly correlated with v_6 and 1 other fieldsHigh correlation
v_2 is highly correlated with v_12High correlation
v_3 is highly correlated with regDate and 4 other fieldsHigh correlation
v_4 is highly correlated with v_5 and 2 other fieldsHigh correlation
v_5 is highly correlated with v_4 and 1 other fieldsHigh correlation
v_6 is highly correlated with v_1 and 1 other fieldsHigh correlation
v_8 is highly correlated with regDate and 3 other fieldsHigh correlation
v_9 is highly correlated with v_4 and 2 other fieldsHigh correlation
v_10 is highly correlated with v_0 and 2 other fieldsHigh correlation
v_12 is highly correlated with regDate and 5 other fieldsHigh correlation
v_13 is highly correlated with v_4 and 1 other fieldsHigh correlation
v_10 is highly correlated with regDate and 12 other fieldsHigh correlation
kilometer is highly correlated with regDateHigh correlation
regDate is highly correlated with v_10 and 6 other fieldsHigh correlation
v_3 is highly correlated with v_10 and 10 other fieldsHigh correlation
v_7 is highly correlated with v_10 and 4 other fieldsHigh correlation
v_14 is highly correlated with v_3 and 3 other fieldsHigh correlation
v_12 is highly correlated with v_10 and 8 other fieldsHigh correlation
v_5 is highly correlated with v_10 and 11 other fieldsHigh correlation
v_11 is highly correlated with v_10 and 10 other fieldsHigh correlation
v_0 is highly correlated with v_10 and 9 other fieldsHigh correlation
v_4 is highly correlated with v_3 and 5 other fieldsHigh correlation
name is highly correlated with v_10 and 2 other fieldsHigh correlation
v_6 is highly correlated with v_10 and 3 other fieldsHigh correlation
model is highly correlated with brand and 1 other fieldsHigh correlation
v_1 is highly correlated with v_10 and 3 other fieldsHigh correlation
v_13 is highly correlated with v_3 and 4 other fieldsHigh correlation
brand is highly correlated with v_4 and 2 other fieldsHigh correlation
price is highly correlated with v_10 and 5 other fieldsHigh correlation
bodyType is highly correlated with v_5 and 1 other fieldsHigh correlation
v_8 is highly correlated with v_10 and 6 other fieldsHigh correlation
v_9 is highly correlated with v_5 and 4 other fieldsHigh correlation
v_2 is highly correlated with v_10 and 5 other fieldsHigh correlation
offerType is highly correlated with seller and 2 other fieldsHigh correlation
seller is highly correlated with offerTypeHigh correlation
gearbox is highly correlated with offerTypeHigh correlation
notRepairedDamage is highly correlated with offerTypeHigh correlation
bodyType has 4506 (3.0%) missing values Missing
fuelType has 8680 (5.8%) missing values Missing
gearbox has 5981 (4.0%) missing values Missing
power is highly skewed (γ1 = 65.86317787) Skewed
creatDate is highly skewed (γ1 = -79.01331042) Skewed
SaleID is uniformly distributed Uniform
SaleID has unique values Unique
model has 11762 (7.8%) zeros Zeros
brand has 31480 (21.0%) zeros Zeros
bodyType has 41420 (27.6%) zeros Zeros
fuelType has 91656 (61.1%) zeros Zeros
power has 12829 (8.6%) zeros Zeros
v_5 has 4485 (3.0%) zeros Zeros
v_6 has 35465 (23.6%) zeros Zeros
v_7 has 5467 (3.6%) zeros Zeros
v_8 has 1597 (1.1%) zeros Zeros
v_9 has 3486 (2.3%) zeros Zeros

Reproduction

Analysis started2021-12-29 02:00:53.151862
Analysis finished2021-12-29 02:03:01.410626
Duration2 minutes and 8.26 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

SaleID
Real number (ℝ≥0)

UNIFORM
UNIQUE

Distinct150000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74999.5
Minimum0
Maximum149999
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:01.488289image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7499.95
Q137499.75
median74999.5
Q3112499.25
95-th percentile142499.05
Maximum149999
Range149999
Interquartile range (IQR)74999.5

Descriptive statistics

Standard deviation43301.41453
Coefficient of variation (CV)0.5773560427
Kurtosis-1.2
Mean74999.5
Median Absolute Deviation (MAD)37500
Skewness0
Sum1.1249925 × 1010
Variance1875012500
MonotonicityStrictly increasing
2021-12-29T10:03:01.579032image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01
 
< 0.1%
232621
 
< 0.1%
560141
 
< 0.1%
539671
 
< 0.1%
109601
 
< 0.1%
89131
 
< 0.1%
150581
 
< 0.1%
130111
 
< 0.1%
27721
 
< 0.1%
7251
 
< 0.1%
Other values (149990)149990
> 99.9%
ValueCountFrequency (%)
01
< 0.1%
11
< 0.1%
21
< 0.1%
31
< 0.1%
41
< 0.1%
51
< 0.1%
61
< 0.1%
71
< 0.1%
81
< 0.1%
91
< 0.1%
ValueCountFrequency (%)
1499991
< 0.1%
1499981
< 0.1%
1499971
< 0.1%
1499961
< 0.1%
1499951
< 0.1%
1499941
< 0.1%
1499931
< 0.1%
1499921
< 0.1%
1499911
< 0.1%
1499901
< 0.1%

name
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct99662
Distinct (%)66.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68349.17287
Minimum0
Maximum196812
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:01.675022image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile811
Q111156
median51638
Q3118841.25
95-th percentile180617.05
Maximum196812
Range196812
Interquartile range (IQR)107685.25

Descriptive statistics

Standard deviation61103.87509
Coefficient of variation (CV)0.8939958236
Kurtosis-1.039944629
Mean68349.17287
Median Absolute Deviation (MAD)46018
Skewness0.5576057626
Sum1.025237593 × 1010
Variance3733683552
MonotonicityNot monotonic
2021-12-29T10:03:01.768032image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387282
 
0.2%
708282
 
0.2%
55280
 
0.2%
1541263
 
0.2%
203233
 
0.2%
53221
 
0.1%
713217
 
0.1%
290197
 
0.1%
1186184
 
0.1%
911182
 
0.1%
Other values (99652)147659
98.4%
ValueCountFrequency (%)
04
 
< 0.1%
31
 
< 0.1%
41
 
< 0.1%
635
< 0.1%
71
 
< 0.1%
96
 
< 0.1%
1022
< 0.1%
121
 
< 0.1%
131
 
< 0.1%
146
 
< 0.1%
ValueCountFrequency (%)
1968121
< 0.1%
1968111
< 0.1%
1968101
< 0.1%
1968091
< 0.1%
1968071
< 0.1%
1968001
< 0.1%
1967961
< 0.1%
1967951
< 0.1%
1967941
< 0.1%
1967931
< 0.1%

regDate
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3894
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20034170.51
Minimum19910001
Maximum20151212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:01.862031image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum19910001
5-th percentile19950209
Q119990912
median20030912
Q320071109
95-th percentile20120811
Maximum20151212
Range241211
Interquartile range (IQR)80197

Descriptive statistics

Standard deviation53649.87926
Coefficient of variation (CV)0.00267791867
Kurtosis-0.6973078263
Mean20034170.51
Median Absolute Deviation (MAD)40096
Skewness0.02849507907
Sum3.005125577 × 1012
Variance2878309544
MonotonicityNot monotonic
2021-12-29T10:03:01.959764image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000008180
 
0.1%
20000011158
 
0.1%
20000010157
 
0.1%
20000004157
 
0.1%
20000002155
 
0.1%
20000009154
 
0.1%
20000005151
 
0.1%
20000001149
 
0.1%
20000006143
 
0.1%
20000007142
 
0.1%
Other values (3884)148454
99.0%
ValueCountFrequency (%)
1991000114
< 0.1%
1991000214
< 0.1%
1991000312
< 0.1%
1991000411
< 0.1%
1991000515
< 0.1%
1991000615
< 0.1%
1991000718
< 0.1%
1991000815
< 0.1%
1991000915
< 0.1%
1991001015
< 0.1%
ValueCountFrequency (%)
201512121
 
< 0.1%
201512113
 
< 0.1%
201512105
< 0.1%
201512091
 
< 0.1%
201512084
< 0.1%
201512078
< 0.1%
201512066
< 0.1%
201512054
< 0.1%
201512042
 
< 0.1%
201512036
< 0.1%

model
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct248
Distinct (%)0.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean47.12902086
Minimum0
Maximum247
Zeros11762
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:02.054228image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median30
Q366
95-th percentile162
Maximum247
Range247
Interquartile range (IQR)56

Descriptive statistics

Standard deviation49.53603965
Coefficient of variation (CV)1.051072964
Kurtosis1.740483202
Mean47.12902086
Median Absolute Deviation (MAD)24
Skewness1.484387653
Sum7069306
Variance2453.819225
MonotonicityNot monotonic
2021-12-29T10:03:02.147904image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011762
 
7.8%
199573
 
6.4%
48445
 
5.6%
16038
 
4.0%
295186
 
3.5%
485052
 
3.4%
404502
 
3.0%
264496
 
3.0%
84391
 
2.9%
313827
 
2.6%
Other values (238)86727
57.8%
ValueCountFrequency (%)
011762
7.8%
16038
4.0%
2286
 
0.2%
3920
 
0.6%
48445
5.6%
52063
 
1.4%
6301
 
0.2%
71460
 
1.0%
84391
 
2.9%
955
 
< 0.1%
ValueCountFrequency (%)
2471
 
< 0.1%
2467
 
< 0.1%
2452
 
< 0.1%
2443
 
< 0.1%
2434
 
< 0.1%
2422
 
< 0.1%
24110
 
< 0.1%
2402
 
< 0.1%
23914
 
< 0.1%
23844
< 0.1%

brand
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct40
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.052733333
Minimum0
Maximum39
Zeros31480
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:02.234845image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q313
95-th percentile25
Maximum39
Range39
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.864956341
Coefficient of variation (CV)0.9766815832
Kurtosis1.076201475
Mean8.052733333
Median Absolute Deviation (MAD)5
Skewness1.150760283
Sum1207910
Variance61.85753825
MonotonicityNot monotonic
2021-12-29T10:03:02.321662image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
031480
21.0%
416737
11.2%
1416089
10.7%
1014249
9.5%
113794
9.2%
610217
 
6.8%
97306
 
4.9%
54665
 
3.1%
133817
 
2.5%
112945
 
2.0%
Other values (30)28701
19.1%
ValueCountFrequency (%)
031480
21.0%
113794
9.2%
2321
 
0.2%
32461
 
1.6%
416737
11.2%
54665
 
3.1%
610217
 
6.8%
72361
 
1.6%
82077
 
1.4%
97306
 
4.9%
ValueCountFrequency (%)
399
 
< 0.1%
3865
 
< 0.1%
37333
 
0.2%
36228
 
0.2%
35180
 
0.1%
34227
 
0.2%
33218
 
0.1%
32592
0.4%
31318
 
0.2%
30940
0.6%

bodyType
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing4506
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean1.792369445
Minimum0
Maximum7
Zeros41420
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:02.396857image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.760639503
Coefficient of variation (CV)0.9822972091
Kurtosis0.2069369316
Mean1.792369445
Median Absolute Deviation (MAD)1
Skewness0.991529939
Sum260779
Variance3.099851461
MonotonicityNot monotonic
2021-12-29T10:03:02.459497image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
041420
27.6%
135272
23.5%
230324
20.2%
313491
 
9.0%
49609
 
6.4%
57607
 
5.1%
66482
 
4.3%
71289
 
0.9%
(Missing)4506
 
3.0%
ValueCountFrequency (%)
041420
27.6%
135272
23.5%
230324
20.2%
313491
 
9.0%
49609
 
6.4%
57607
 
5.1%
66482
 
4.3%
71289
 
0.9%
ValueCountFrequency (%)
71289
 
0.9%
66482
 
4.3%
57607
 
5.1%
49609
 
6.4%
313491
 
9.0%
230324
20.2%
135272
23.5%
041420
27.6%

fuelType
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7
Distinct (%)< 0.1%
Missing8680
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean0.3758420606
Minimum0
Maximum6
Zeros91656
Zeros (%)61.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:02.525043image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5486766226
Coefficient of variation (CV)1.459859553
Kurtosis5.8800487
Mean0.3758420606
Median Absolute Deviation (MAD)0
Skewness1.595485994
Sum53114
Variance0.3010460362
MonotonicityNot monotonic
2021-12-29T10:03:02.580081image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
091656
61.1%
146991
31.3%
22212
 
1.5%
3262
 
0.2%
4118
 
0.1%
545
 
< 0.1%
636
 
< 0.1%
(Missing)8680
 
5.8%
ValueCountFrequency (%)
091656
61.1%
146991
31.3%
22212
 
1.5%
3262
 
0.2%
4118
 
0.1%
545
 
< 0.1%
636
 
< 0.1%
ValueCountFrequency (%)
636
 
< 0.1%
545
 
< 0.1%
4118
 
0.1%
3262
 
0.2%
22212
 
1.5%
146991
31.3%
091656
61.1%

gearbox
Categorical

HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing5981
Missing (%)4.0%
Memory size1.1 MiB
0.0
111623 
1.0
32396 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters432057
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0111623
74.4%
1.032396
 
21.6%
(Missing)5981
 
4.0%

Length

2021-12-29T10:03:02.725229image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-12-29T10:03:02.772007image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0111623
77.5%
1.032396
 
22.5%

Most occurring characters

ValueCountFrequency (%)
0255642
59.2%
.144019
33.3%
132396
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number288038
66.7%
Other Punctuation144019
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0255642
88.8%
132396
 
11.2%
Other Punctuation
ValueCountFrequency (%)
.144019
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common432057
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0255642
59.2%
.144019
33.3%
132396
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII432057
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0255642
59.2%
.144019
33.3%
132396
 
7.5%

power
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED
ZEROS

Distinct566
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.3165467
Minimum0
Maximum19312
Zeros12829
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:02.833581image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175
median110
Q3150
95-th percentile232
Maximum19312
Range19312
Interquartile range (IQR)75

Descriptive statistics

Standard deviation177.1684192
Coefficient of variation (CV)1.484860433
Kurtosis5733.451054
Mean119.3165467
Median Absolute Deviation (MAD)37
Skewness65.86317787
Sum17897482
Variance31388.64875
MonotonicityNot monotonic
2021-12-29T10:03:02.927363image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012829
 
8.6%
759593
 
6.4%
1506495
 
4.3%
606374
 
4.2%
1405963
 
4.0%
1015537
 
3.7%
1165177
 
3.5%
904890
 
3.3%
1704791
 
3.2%
1054457
 
3.0%
Other values (556)83894
55.9%
ValueCountFrequency (%)
012829
8.6%
18
 
< 0.1%
23
 
< 0.1%
33
 
< 0.1%
49
 
< 0.1%
542
 
< 0.1%
65
 
< 0.1%
73
 
< 0.1%
83
 
< 0.1%
91
 
< 0.1%
ValueCountFrequency (%)
193121
< 0.1%
179321
< 0.1%
177001
< 0.1%
174101
< 0.1%
173221
< 0.1%
170111
< 0.1%
163121
< 0.1%
140091
< 0.1%
136361
< 0.1%
126841
< 0.1%

kilometer
Real number (ℝ≥0)

HIGH CORRELATION

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.59716
Minimum0.5
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:03.010578image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile4
Q112.5
median15
Q315
95-th percentile15
Maximum15
Range14.5
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation3.919575532
Coefficient of variation (CV)0.3111475549
Kurtosis1.141934188
Mean12.59716
Median Absolute Deviation (MAD)0
Skewness-1.525921365
Sum1889574
Variance15.36307235
MonotonicityNot monotonic
2021-12-29T10:03:03.074582image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1596877
64.6%
12.515722
 
10.5%
106459
 
4.3%
95257
 
3.5%
84573
 
3.0%
74084
 
2.7%
63725
 
2.5%
53144
 
2.1%
42718
 
1.8%
32501
 
1.7%
Other values (3)4940
 
3.3%
ValueCountFrequency (%)
0.51840
 
1.2%
1746
 
0.5%
22354
1.6%
32501
1.7%
42718
1.8%
53144
2.1%
63725
2.5%
74084
2.7%
84573
3.0%
95257
3.5%
ValueCountFrequency (%)
1596877
64.6%
12.515722
 
10.5%
106459
 
4.3%
95257
 
3.5%
84573
 
3.0%
74084
 
2.7%
63725
 
2.5%
53144
 
2.1%
42718
 
1.8%
32501
 
1.7%

notRepairedDamage
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
0.0
111361 
-
24324 
1.0
14315 

Length

Max length3
Median length3
Mean length2.67568
Min length1

Characters and Unicode

Total characters401352
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row-
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0111361
74.2%
-24324
 
16.2%
1.014315
 
9.5%

Length

2021-12-29T10:03:03.226322image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-12-29T10:03:03.279046image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0111361
74.2%
24324
 
16.2%
1.014315
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0237037
59.1%
.125676
31.3%
-24324
 
6.1%
114315
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number251352
62.6%
Other Punctuation125676
31.3%
Dash Punctuation24324
 
6.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0237037
94.3%
114315
 
5.7%
Other Punctuation
ValueCountFrequency (%)
.125676
100.0%
Dash Punctuation
ValueCountFrequency (%)
-24324
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common401352
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0237037
59.1%
.125676
31.3%
-24324
 
6.1%
114315
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII401352
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0237037
59.1%
.125676
31.3%
-24324
 
6.1%
114315
 
3.6%

regionCode
Real number (ℝ≥0)

Distinct7905
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2583.077267
Minimum0
Maximum8120
Zeros63
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:03.344732image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile188
Q11018
median2196
Q33843
95-th percentile6244.05
Maximum8120
Range8120
Interquartile range (IQR)2825

Descriptive statistics

Standard deviation1885.363218
Coefficient of variation (CV)0.7298903685
Kurtosis-0.3408317795
Mean2583.077267
Median Absolute Deviation (MAD)1349
Skewness0.6888811779
Sum387461590
Variance3554594.464
MonotonicityNot monotonic
2021-12-29T10:03:03.437019image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
419369
 
0.2%
764258
 
0.2%
125137
 
0.1%
176136
 
0.1%
462134
 
0.1%
428132
 
0.1%
1184130
 
0.1%
24130
 
0.1%
122129
 
0.1%
828126
 
0.1%
Other values (7895)148319
98.9%
ValueCountFrequency (%)
063
< 0.1%
117
 
< 0.1%
226
 
< 0.1%
330
< 0.1%
465
< 0.1%
539
< 0.1%
640
< 0.1%
77
 
< 0.1%
825
 
< 0.1%
97
 
< 0.1%
ValueCountFrequency (%)
81201
< 0.1%
81171
< 0.1%
81131
< 0.1%
81121
< 0.1%
81091
< 0.1%
81071
< 0.1%
81061
< 0.1%
81051
< 0.1%
81041
< 0.1%
81032
< 0.1%

seller
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
0
149999 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters150000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0149999
> 99.9%
11
 
< 0.1%

Length

2021-12-29T10:03:03.593474image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-12-29T10:03:03.640154image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
0149999
> 99.9%
11
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0149999
> 99.9%
11
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number150000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0149999
> 99.9%
11
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common150000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0149999
> 99.9%
11
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII150000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0149999
> 99.9%
11
 
< 0.1%

offerType
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
0
150000 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters150000
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0150000
100.0%

Length

2021-12-29T10:03:03.757275image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-12-29T10:03:03.803052image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
0150000
100.0%

Most occurring characters

ValueCountFrequency (%)
0150000
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number150000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0150000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common150000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0150000
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII150000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0150000
100.0%

creatDate
Real number (ℝ≥0)

SKEWED

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20160330.79
Minimum20150618
Maximum20160407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:03.858829image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum20150618
5-th percentile20160307
Q120160313
median20160321
Q320160329
95-th percentile20160404
Maximum20160407
Range9789
Interquartile range (IQR)16

Descriptive statistics

Standard deviation106.7328088
Coefficient of variation (CV)5.294199283 × 10-6
Kurtosis6881.080328
Mean20160330.79
Median Absolute Deviation (MAD)8
Skewness-79.01331042
Sum3.024049619 × 1012
Variance11391.89248
MonotonicityNot monotonic
2021-12-29T10:03:03.955235image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201604035848
 
3.9%
201604045606
 
3.7%
201603205485
 
3.7%
201603125383
 
3.6%
201604025382
 
3.6%
201603215361
 
3.6%
201603145278
 
3.5%
201603285218
 
3.5%
201603195213
 
3.5%
201603075203
 
3.5%
Other values (86)96023
64.0%
ValueCountFrequency (%)
201506181
< 0.1%
201508071
< 0.1%
201508101
< 0.1%
201509042
< 0.1%
201509091
< 0.1%
201511081
< 0.1%
201511121
< 0.1%
201511171
< 0.1%
201511232
< 0.1%
201511242
< 0.1%
ValueCountFrequency (%)
20160407223
 
0.1%
20160406505
 
0.3%
201604051688
 
1.1%
201604045606
3.7%
201604035848
3.9%
201604025382
3.6%
201604015092
3.4%
201603314769
3.2%
201603305075
3.4%
201603295106
3.4%

price
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3763
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5923.327333
Minimum11
Maximum99999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:04.050529image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile400
Q11300
median3250
Q37700
95-th percentile19970
Maximum99999
Range99988
Interquartile range (IQR)6400

Descriptive statistics

Standard deviation7501.998477
Coefficient of variation (CV)1.266517627
Kurtosis18.99518336
Mean5923.327333
Median Absolute Deviation (MAD)2351
Skewness3.346486763
Sum888499100
Variance56279981.14
MonotonicityNot monotonic
2021-12-29T10:03:04.143570image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5002337
 
1.6%
15002158
 
1.4%
12001922
 
1.3%
10001850
 
1.2%
25001821
 
1.2%
6001535
 
1.0%
35001533
 
1.0%
8001513
 
1.0%
20001378
 
0.9%
9991356
 
0.9%
Other values (3753)132597
88.4%
ValueCountFrequency (%)
112
 
< 0.1%
123
 
< 0.1%
136
 
< 0.1%
141
 
< 0.1%
1513
< 0.1%
161
 
< 0.1%
171
 
< 0.1%
2014
< 0.1%
2515
< 0.1%
291
 
< 0.1%
ValueCountFrequency (%)
999995
< 0.1%
999901
 
< 0.1%
999001
 
< 0.1%
984301
 
< 0.1%
980002
 
< 0.1%
975001
 
< 0.1%
954001
 
< 0.1%
950001
 
< 0.1%
939001
 
< 0.1%
934901
 
< 0.1%

v_0
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct143997
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.40626753
Minimum30.45197649
Maximum52.30417826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:04.240333image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum30.45197649
5-th percentile40.9957098
Q143.13579888
median44.61026572
Q346.0047209
95-th percentile47.74725825
Maximum52.30417826
Range21.85220177
Interquartile range (IQR)2.868922015

Descriptive statistics

Standard deviation2.457547906
Coefficient of variation (CV)0.05534236591
Kurtosis3.993841049
Mean44.40626753
Median Absolute Deviation (MAD)1.431596579
Skewness-1.316712325
Sum6660940.13
Variance6.039541711
MonotonicityNot monotonic
2021-12-29T10:03:04.331424image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45.3491146920
 
< 0.1%
48.087216516
 
< 0.1%
48.6181496215
 
< 0.1%
47.5684503115
 
< 0.1%
48.2514302315
 
< 0.1%
47.8403568915
 
< 0.1%
48.2659073314
 
< 0.1%
48.4334397214
 
< 0.1%
47.8029890514
 
< 0.1%
47.6664440212
 
< 0.1%
Other values (143987)149850
99.9%
ValueCountFrequency (%)
30.451976491
< 0.1%
30.60739421
< 0.1%
30.827899381
< 0.1%
30.82930161
< 0.1%
31.002200291
< 0.1%
31.133322261
< 0.1%
31.16724671
< 0.1%
31.195995971
< 0.1%
31.204724041
< 0.1%
31.357493591
< 0.1%
ValueCountFrequency (%)
52.304178261
< 0.1%
51.881516561
< 0.1%
51.815421361
< 0.1%
51.712444761
< 0.1%
51.704406411
< 0.1%
51.685336661
< 0.1%
51.671109721
< 0.1%
51.537028371
< 0.1%
51.503280041
< 0.1%
51.499041191
< 0.1%

v_1
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct143998
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04480912301
Minimum-4.295588903
Maximum7.320308375
Zeros0
Zeros (%)0.0%
Negative84634
Negative (%)56.4%
Memory size1.1 MiB
2021-12-29T10:03:04.419249image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-4.295588903
5-th percentile-3.315105571
Q1-3.192349286
median-3.052671416
Q34.000669795
95-th percentile5.156493473
Maximum7.320308375
Range11.61589728
Interquartile range (IQR)7.193019081

Descriptive statistics

Standard deviation3.641893018
Coefficient of variation (CV)-81.27570398
Kurtosis-1.753016996
Mean-0.04480912301
Median Absolute Deviation (MAD)0.2473609618
Skewness0.3594542872
Sum-6721.368452
Variance13.26338475
MonotonicityNot monotonic
2021-12-29T10:03:04.513545image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3.24513302720
 
< 0.1%
3.18332271116
 
< 0.1%
1.94273192315
 
< 0.1%
2.79673868315
 
< 0.1%
3.11668778415
 
< 0.1%
3.35494927215
 
< 0.1%
2.88685838914
 
< 0.1%
3.39624399814
 
< 0.1%
3.19536316714
 
< 0.1%
3.40029463212
 
< 0.1%
Other values (143988)149850
99.9%
ValueCountFrequency (%)
-4.2955889031
< 0.1%
-4.2369042171
< 0.1%
-4.2002435041
< 0.1%
-4.1698942831
< 0.1%
-4.114646811
< 0.1%
-4.1136371161
< 0.1%
-4.0948068221
< 0.1%
-4.0923142831
< 0.1%
-4.0767733531
< 0.1%
-4.0663821721
< 0.1%
ValueCountFrequency (%)
7.3203083751
< 0.1%
7.2996018311
< 0.1%
7.2704477551
< 0.1%
7.2513852231
< 0.1%
7.1895988721
< 0.1%
7.0943145271
< 0.1%
7.0732861211
< 0.1%
7.0169777441
< 0.1%
7.0058860411
< 0.1%
6.9905453621
< 0.1%

v_2
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct143997
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08076505845
Minimum-4.47067143
Maximum19.0354965
Zeros0
Zeros (%)0.0%
Negative99360
Negative (%)66.2%
Memory size1.1 MiB
2021-12-29T10:03:04.603283image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-4.47067143
5-th percentile-1.78064028
Q1-0.9706712005
median-0.3829468904
Q30.2413348522
95-th percentile1.228078873
Maximum19.0354965
Range23.50616793
Interquartile range (IQR)1.212006053

Descriptive statistics

Standard deviation2.929617945
Coefficient of variation (CV)36.27333405
Kurtosis23.86059102
Mean0.08076505845
Median Absolute Deviation (MAD)0.605197914
Skewness4.842555904
Sum12114.75877
Variance8.582661304
MonotonicityNot monotonic
2021-12-29T10:03:04.702350image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.349859950620
 
< 0.1%
0.826576765916
 
< 0.1%
0.030707602515
 
< 0.1%
-0.158364141815
 
< 0.1%
0.887762497715
 
< 0.1%
0.980616481415
 
< 0.1%
-0.028164446114
 
< 0.1%
-0.128923062814
 
< 0.1%
0.985872358614
 
< 0.1%
0.47056890112
 
< 0.1%
Other values (143987)149850
99.9%
ValueCountFrequency (%)
-4.470671431
< 0.1%
-4.1557429051
< 0.1%
-4.0225342991
< 0.1%
-3.7413925531
< 0.1%
-3.7379704212
< 0.1%
-3.686771561
< 0.1%
-3.6822509721
< 0.1%
-3.6753450931
< 0.1%
-3.5077590031
< 0.1%
-3.4890021911
< 0.1%
ValueCountFrequency (%)
19.03549651
< 0.1%
18.994308911
< 0.1%
18.802117711
< 0.1%
18.676413951
< 0.1%
18.656750781
< 0.1%
18.656047421
< 0.1%
18.628939231
< 0.1%
18.608435571
< 0.1%
18.591427161
< 0.1%
18.578705971
< 0.1%

v_3
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct143998
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07883342346
Minimum-7.275036707
Maximum9.854701534
Zeros0
Zeros (%)0.0%
Negative72655
Negative (%)48.4%
Memory size1.1 MiB
2021-12-29T10:03:04.797122image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-7.275036707
5-th percentile-3.173722911
Q1-1.462580044
median0.09972198465
Q31.565838202
95-th percentile3.34599903
Maximum9.854701534
Range17.12973824
Interquartile range (IQR)3.028418246

Descriptive statistics

Standard deviation2.026514036
Coefficient of variation (CV)25.70627973
Kurtosis-0.4180058877
Mean0.07883342346
Median Absolute Deviation (MAD)1.511755874
Skewness0.1062920405
Sum11825.01352
Variance4.106759138
MonotonicityNot monotonic
2021-12-29T10:03:04.885680image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.218200512320
 
< 0.1%
-1.31298998216
 
< 0.1%
-1.61987292515
 
< 0.1%
-1.38275605315
 
< 0.1%
-1.6124324515
 
< 0.1%
-2.00661231415
 
< 0.1%
-1.88184968114
 
< 0.1%
-1.69095303514
 
< 0.1%
-1.71350925714
 
< 0.1%
-1.5626496912
 
< 0.1%
Other values (143988)149850
99.9%
ValueCountFrequency (%)
-7.2750367071
< 0.1%
-5.8170294591
< 0.1%
-5.500691721
< 0.1%
-5.4550906721
< 0.1%
-5.4162551611
< 0.1%
-5.411330441
< 0.1%
-5.4097224171
< 0.1%
-5.4006671171
< 0.1%
-5.3313712911
< 0.1%
-5.3271605951
< 0.1%
ValueCountFrequency (%)
9.8547015341
< 0.1%
9.3692268641
< 0.1%
9.1815250541
< 0.1%
9.1215675291
< 0.1%
9.1026539621
< 0.1%
9.0262759041
< 0.1%
8.8632993111
< 0.1%
8.7878278051
< 0.1%
8.6994576211
< 0.1%
8.6728583561
< 0.1%

v_4
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct143998
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01787461475
Minimum-4.364565242
Maximum6.82935164
Zeros0
Zeros (%)0.0%
Negative77887
Negative (%)51.9%
Memory size1.1 MiB
2021-12-29T10:03:04.980476image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-4.364565242
5-th percentile-1.694681469
Q1-0.9211914838
median-0.07591042907
Q30.8687584354
95-th percentile2.100814569
Maximum6.82935164
Range11.19391688
Interquartile range (IQR)1.789949919

Descriptive statistics

Standard deviation1.193661387
Coefficient of variation (CV)66.77969868
Kurtosis-0.1972952432
Mean0.01787461475
Median Absolute Deviation (MAD)0.8881576237
Skewness0.3679889702
Sum2681.192212
Variance1.424827506
MonotonicityNot monotonic
2021-12-29T10:03:05.068987image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.62682823320
 
< 0.1%
0.696775176116
 
< 0.1%
1.2354578615
 
< 0.1%
-0.364986222215
 
< 0.1%
-0.365899502515
 
< 0.1%
-0.379815392815
 
< 0.1%
1.61713592714
 
< 0.1%
-0.304814687414
 
< 0.1%
-0.393283208114
 
< 0.1%
1.42591537612
 
< 0.1%
Other values (143988)149850
99.9%
ValueCountFrequency (%)
-4.3645652421
< 0.1%
-4.2336259661
< 0.1%
-4.2115009951
< 0.1%
-4.1561681641
< 0.1%
-4.0955550321
< 0.1%
-4.0683869961
< 0.1%
-4.0525962161
< 0.1%
-4.0474080721
< 0.1%
-4.0319932631
< 0.1%
-4.0259809361
< 0.1%
ValueCountFrequency (%)
6.829351641
< 0.1%
4.959093981
< 0.1%
4.9554698031
< 0.1%
4.877270691
< 0.1%
4.8465670741
< 0.1%
4.7734843721
< 0.1%
4.7724064851
< 0.1%
4.7378061041
< 0.1%
4.7187813511
< 0.1%
4.7011439251
< 0.1%

v_5
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct139624
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2482035284
Minimum0
Maximum0.2918381131
Zeros4485
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:05.159528image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2270593411
Q10.2436153531
median0.2577979663
Q30.2652972593
95-th percentile0.2779034901
Maximum0.2918381131
Range0.2918381131
Interquartile range (IQR)0.02168190624

Descriptive statistics

Standard deviation0.04580397102
Coefficient of variation (CV)0.1845419818
Kurtosis22.93408106
Mean0.2482035284
Median Absolute Deviation (MAD)0.009677048151
Skewness-4.737093909
Sum37230.52926
Variance0.002098003761
MonotonicityNot monotonic
2021-12-29T10:03:05.250123image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04485
 
3.0%
0.269405813220
 
< 0.1%
0.256226431816
 
< 0.1%
0.265763855315
 
< 0.1%
0.277096619715
 
< 0.1%
0.261082081615
 
< 0.1%
0.260995784115
 
< 0.1%
0.260631374614
 
< 0.1%
0.26312581814
 
< 0.1%
0.277397421514
 
< 0.1%
Other values (139614)145377
96.9%
ValueCountFrequency (%)
04485
3.0%
1.182991951 × 10-51
 
< 0.1%
3.541627639 × 10-51
 
< 0.1%
4.983770368 × 10-51
 
< 0.1%
9.987459124 × 10-51
 
< 0.1%
0.00013198842731
 
< 0.1%
0.00013418999071
 
< 0.1%
0.00013894302131
 
< 0.1%
0.00022953794762
 
< 0.1%
0.00024576889321
 
< 0.1%
ValueCountFrequency (%)
0.29183811311
< 0.1%
0.29162210471
< 0.1%
0.2914730691
< 0.1%
0.29143128431
< 0.1%
0.2912938371
< 0.1%
0.29121634951
< 0.1%
0.29120074021
< 0.1%
0.29117556111
< 0.1%
0.29111231391
< 0.1%
0.29108927381
< 0.1%

v_6
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct109766
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04492300431
Minimum0
Maximum0.1514195959
Zeros35465
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:05.347475image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.811099819 × 10-5
median0.0008120586185
Q30.1020092977
95-th percentile0.119640585
Maximum0.1514195959
Range0.1514195959
Interquartile range (IQR)0.1019711867

Descriptive statistics

Standard deviation0.05174278749
Coefficient of variation (CV)1.151810488
Kurtosis-1.742566654
Mean0.04492300431
Median Absolute Deviation (MAD)0.0008120586185
Skewness0.3680730421
Sum6738.450646
Variance0.002677316057
MonotonicityNot monotonic
2021-12-29T10:03:05.444568image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
035465
 
23.6%
5.281627533 × 10-520
 
< 0.1%
0.0934723056316
 
< 0.1%
0.0950288338515
 
< 0.1%
0.0752118678115
 
< 0.1%
0.0918874552915
 
< 0.1%
0.0875616372315
 
< 0.1%
0.0887036155314
 
< 0.1%
0.0928530516114
 
< 0.1%
0.0954522984414
 
< 0.1%
Other values (109756)114397
76.3%
ValueCountFrequency (%)
035465
23.6%
1.498903956 × 10-81
 
< 0.1%
1.855559964 × 10-81
 
< 0.1%
3.458416163 × 10-81
 
< 0.1%
5.365260697 × 10-81
 
< 0.1%
6.360355517 × 10-81
 
< 0.1%
8.652398178 × 10-81
 
< 0.1%
1.114472255 × 10-71
 
< 0.1%
1.211383514 × 10-71
 
< 0.1%
1.306585345 × 10-71
 
< 0.1%
ValueCountFrequency (%)
0.15141959591
< 0.1%
0.15110577131
< 0.1%
0.15038921331
< 0.1%
0.15032204621
< 0.1%
0.14991015031
< 0.1%
0.1495848721
< 0.1%
0.14955215971
< 0.1%
0.1489944721
< 0.1%
0.14832837261
< 0.1%
0.14788613861
< 0.1%

v_7
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct138709
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1246924611
Minimum0
Maximum1.404936375
Zeros5467
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:05.543425image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.007337314046
Q10.06247353269
median0.09586589827
Q30.1252429449
95-th percentile0.1681911025
Maximum1.404936375
Range1.404936375
Interquartile range (IQR)0.06276941225

Descriptive statistics

Standard deviation0.2014095303
Coefficient of variation (CV)1.615250261
Kurtosis25.84548929
Mean0.1246924611
Median Absolute Deviation (MAD)0.03105539056
Skewness5.130233019
Sum18703.86917
Variance0.04056579891
MonotonicityNot monotonic
2021-12-29T10:03:05.634843image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05467
 
3.6%
0.124212572220
 
< 0.1%
0.130271918216
 
< 0.1%
0.140907486915
 
< 0.1%
0.13966734415
 
< 0.1%
0.0815952102415
 
< 0.1%
0.0516797522815
 
< 0.1%
0.140864800314
 
< 0.1%
0.0729295705814
 
< 0.1%
0.045171096214
 
< 0.1%
Other values (138699)144395
96.3%
ValueCountFrequency (%)
05467
3.6%
8.788703506 × 10-71
 
< 0.1%
4.967235703 × 10-61
 
< 0.1%
5.313628437 × 10-61
 
< 0.1%
7.115923657 × 10-61
 
< 0.1%
9.02865141 × 10-61
 
< 0.1%
1.028944288 × 10-51
 
< 0.1%
1.411220448 × 10-51
 
< 0.1%
1.482224932 × 10-51
 
< 0.1%
1.720118199 × 10-51
 
< 0.1%
ValueCountFrequency (%)
1.4049363751
< 0.1%
1.4019990121
< 0.1%
1.3878465941
< 0.1%
1.3853667871
< 0.1%
1.3729341791
< 0.1%
1.3717882111
< 0.1%
1.3610389281
< 0.1%
1.3558474551
< 0.1%
1.3502932721
< 0.1%
1.3493057511
< 0.1%

v_8
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct142451
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05814385476
Minimum0
Maximum0.1607909853
Zeros1597
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:05.732320image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01353156407
Q10.03533368675
median0.05701359764
Q30.07938157081
95-th percentile0.1087993996
Maximum0.1607909853
Range0.1607909853
Interquartile range (IQR)0.04404788406

Descriptive statistics

Standard deviation0.02918575568
Coefficient of variation (CV)0.5019577013
Kurtosis-0.6362252576
Mean0.05814385476
Median Absolute Deviation (MAD)0.02199898145
Skewness0.204613257
Sum8721.578214
Variance0.0008518083346
MonotonicityNot monotonic
2021-12-29T10:03:05.825922image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01597
 
1.1%
0.0673580088820
 
< 0.1%
0.0747416888316
 
< 0.1%
0.0846955635215
 
< 0.1%
0.073268143315
 
< 0.1%
0.0759046805915
 
< 0.1%
0.0766635564515
 
< 0.1%
0.0753755761614
 
< 0.1%
0.0786583525914
 
< 0.1%
0.0805840454414
 
< 0.1%
Other values (142441)148265
98.8%
ValueCountFrequency (%)
01597
1.1%
9.229282312 × 10-71
 
< 0.1%
2.029666399 × 10-61
 
< 0.1%
4.413213728 × 10-61
 
< 0.1%
6.403629719 × 10-61
 
< 0.1%
7.995614707 × 10-61
 
< 0.1%
1.003058269 × 10-51
 
< 0.1%
1.39975955 × 10-51
 
< 0.1%
2.333513684 × 10-51
 
< 0.1%
2.457165374 × 10-51
 
< 0.1%
ValueCountFrequency (%)
0.16079098531
< 0.1%
0.15970960241
< 0.1%
0.15776628131
< 0.1%
0.15557614191
< 0.1%
0.15384940681
< 0.1%
0.15349777511
< 0.1%
0.15344392231
< 0.1%
0.15323942521
< 0.1%
0.15231508651
< 0.1%
0.15208497651
< 0.1%

v_9
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct140617
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0619958947
Minimum0
Maximum0.2227874876
Zeros3486
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2021-12-29T10:03:05.926373image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.009496496083
Q10.03393017697
median0.05848366702
Q30.08749054835
95-th percentile0.1248414393
Maximum0.2227874876
Range0.2227874876
Interquartile range (IQR)0.05356037137

Descriptive statistics

Standard deviation0.03569197873
Coefficient of variation (CV)0.575715197
Kurtosis-0.3214911789
Mean0.0619958947
Median Absolute Deviation (MAD)0.02654984894
Skewness0.4195007497
Sum9299.384205
Variance0.001273917346
MonotonicityNot monotonic
2021-12-29T10:03:06.018477image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03486
 
2.3%
0.0148667291520
 
< 0.1%
0.0827647696816
 
< 0.1%
0.0458773960615
 
< 0.1%
0.101149737815
 
< 0.1%
0.0467653032515
 
< 0.1%
0.0515351016715
 
< 0.1%
0.1108865714
 
< 0.1%
0.0482027481614
 
< 0.1%
0.0496107149814
 
< 0.1%
Other values (140607)146376
97.6%
ValueCountFrequency (%)
03486
2.3%
1.271994569 × 10-61
 
< 0.1%
3.552864466 × 10-61
 
< 0.1%
5.529589418 × 10-61
 
< 0.1%
7.708846052 × 10-61
 
< 0.1%
1.116667106 × 10-51
 
< 0.1%
1.12864626 × 10-51
 
< 0.1%
1.168502825 × 10-51
 
< 0.1%
1.377531526 × 10-51
 
< 0.1%
1.44913339 × 10-51
 
< 0.1%
ValueCountFrequency (%)
0.22278748761
< 0.1%
0.21361695911
< 0.1%
0.21176917371
< 0.1%
0.2110746741
< 0.1%
0.21040216271
< 0.1%
0.20771643211
< 0.1%
0.20582369211
< 0.1%
0.20573411121
< 0.1%
0.20163342751
< 0.1%
0.20141281921
< 0.1%

v_10
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct143997
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001000238809
Minimum-9.16819241
Maximum12.35701062
Zeros0
Zeros (%)0.0%
Negative63813
Negative (%)42.5%
Memory size1.1 MiB
2021-12-29T10:03:06.112770image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-9.16819241
5-th percentile-5.65890342
Q1-3.72230288
median1.624076331
Q32.844356776
95-th percentile4.056172056
Maximum12.35701062
Range21.52520303
Interquartile range (IQR)6.566659656

Descriptive statistics

Standard deviation3.772386394
Coefficient of variation (CV)-3771.485731
Kurtosis-0.5779350635
Mean-0.001000238809
Median Absolute Deviation (MAD)2.148033959
Skewness0.02522046412
Sum-150.0358213
Variance14.23089911
MonotonicityNot monotonic
2021-12-29T10:03:06.200066image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.32938640620
 
< 0.1%
-4.30348055216
 
< 0.1%
-3.16323577715
 
< 0.1%
-4.38392889315
 
< 0.1%
-4.75735850315
 
< 0.1%
-4.04739992615
 
< 0.1%
-3.95085720514
 
< 0.1%
-4.81588449714
 
< 0.1%
-4.68644227214
 
< 0.1%
-3.87738732512
 
< 0.1%
Other values (143987)149850
99.9%
ValueCountFrequency (%)
-9.168192411
< 0.1%
-9.1095250991
< 0.1%
-8.7988098731
< 0.1%
-8.7768985451
< 0.1%
-8.5638862871
< 0.1%
-8.5314047121
< 0.1%
-8.4395776631
< 0.1%
-8.4369454251
< 0.1%
-8.4201949431
< 0.1%
-8.4030060641
< 0.1%
ValueCountFrequency (%)
12.357010621
< 0.1%
12.31930271
< 0.1%
12.285298821
< 0.1%
12.180502951
< 0.1%
12.169001071
< 0.1%
12.148415961
< 0.1%
12.146426661
< 0.1%
12.130893071
< 0.1%
12.1183431
< 0.1%
12.103093921
< 0.1%

v_11
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct143997
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009034543473
Minimum-5.558206704
Maximum18.81904247
Zeros0
Zeros (%)0.0%
Negative83038
Negative (%)55.4%
Memory size1.1 MiB
2021-12-29T10:03:06.287034image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-5.558206704
5-th percentile-3.373762442
Q1-1.951543007
median-0.3580526972
Q31.255021657
95-th percentile2.840711833
Maximum18.81904247
Range24.37724917
Interquartile range (IQR)3.206564665

Descriptive statistics

Standard deviation3.286071221
Coefficient of variation (CV)363.7229962
Kurtosis12.56873147
Mean0.009034543473
Median Absolute Deviation (MAD)1.603479007
Skewness3.029145813
Sum1355.181521
Variance10.79826407
MonotonicityNot monotonic
2021-12-29T10:03:06.382926image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.25559064420
 
< 0.1%
-0.330053027216
 
< 0.1%
-0.802613557815
 
< 0.1%
-1.10794025415
 
< 0.1%
-0.0798717039715
 
< 0.1%
-1.43649360815
 
< 0.1%
-0.305946370814
 
< 0.1%
-1.22980565514
 
< 0.1%
-1.12489246514
 
< 0.1%
0.0890373395312
 
< 0.1%
Other values (143987)149850
99.9%
ValueCountFrequency (%)
-5.5582067041
< 0.1%
-5.4030442251
< 0.1%
-5.3911541021
< 0.1%
-5.3665801891
< 0.1%
-5.3628609911
< 0.1%
-5.3577510621
< 0.1%
-5.3232577111
< 0.1%
-5.3197423931
< 0.1%
-5.3066717182
< 0.1%
-5.3007440951
< 0.1%
ValueCountFrequency (%)
18.819042471
< 0.1%
18.802071841
< 0.1%
18.801218361
< 0.1%
18.78710181
< 0.1%
18.765443011
< 0.1%
18.758964691
< 0.1%
18.748292671
< 0.1%
18.746229281
< 0.1%
18.744445091
< 0.1%
18.731198911
< 0.1%

v_12
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct143997
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004812595252
Minimum-9.639552114
Maximum13.84779152
Zeros0
Zeros (%)0.0%
Negative77843
Negative (%)51.9%
Memory size1.1 MiB
2021-12-29T10:03:06.477538image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-9.639552114
5-th percentile-3.790116166
Q1-1.871845761
median-0.1307533175
Q31.776932949
95-th percentile4.100404318
Maximum13.84779152
Range23.48734364
Interquartile range (IQR)3.64877871

Descriptive statistics

Standard deviation2.517477676
Coefficient of variation (CV)523.1018908
Kurtosis0.2689373892
Mean0.004812595252
Median Absolute Deviation (MAD)1.819659384
Skewness0.3653576011
Sum721.8892878
Variance6.33769385
MonotonicityNot monotonic
2021-12-29T10:03:06.570447image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.847433065320
 
< 0.1%
2.48629694416
 
< 0.1%
3.09796275915
 
< 0.1%
2.37525568215
 
< 0.1%
2.1044704815
 
< 0.1%
2.51577680915
 
< 0.1%
2.38738234314
 
< 0.1%
2.26027318414
 
< 0.1%
2.7697400614
 
< 0.1%
1.78798339912
 
< 0.1%
Other values (143987)149850
99.9%
ValueCountFrequency (%)
-9.6395521141
< 0.1%
-9.4041058921
< 0.1%
-9.2888950571
< 0.1%
-9.2239925771
< 0.1%
-8.6792900011
< 0.1%
-8.293423151
< 0.1%
-7.9948110061
< 0.1%
-7.9409384521
< 0.1%
-7.8826030271
< 0.1%
-7.7816454791
< 0.1%
ValueCountFrequency (%)
13.847791521
< 0.1%
13.562011371
< 0.1%
13.113042841
< 0.1%
13.083661411
< 0.1%
12.973056811
< 0.1%
12.964502441
< 0.1%
12.869280931
< 0.1%
12.693091791
< 0.1%
12.692200831
< 0.1%
12.533885571
< 0.1%

v_13
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct143998
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0003126119439
Minimum-4.153898796
Maximum11.14766861
Zeros0
Zeros (%)0.0%
Negative76475
Negative (%)51.0%
Memory size1.1 MiB
2021-12-29T10:03:06.660753image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-4.153898796
5-th percentile-1.931083984
Q1-1.057788984
median-0.03624460356
Q30.9428130826
95-th percentile2.187794499
Maximum11.14766861
Range15.30156741
Interquartile range (IQR)2.000602067

Descriptive statistics

Standard deviation1.288987639
Coefficient of variation (CV)4123.283402
Kurtosis-0.4382740227
Mean0.0003126119439
Median Absolute Deviation (MAD)1.002843891
Skewness0.2679151914
Sum46.89179159
Variance1.661489135
MonotonicityNot monotonic
2021-12-29T10:03:06.750546image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.69849692120
 
< 0.1%
-0.0434626713516
 
< 0.1%
-0.367855255115
 
< 0.1%
-0.834697159115
 
< 0.1%
0.54869661415
 
< 0.1%
-0.49945274615
 
< 0.1%
1.03732396214
 
< 0.1%
-0.375957369214
 
< 0.1%
-0.662800105814
 
< 0.1%
-0.477793505712
 
< 0.1%
Other values (143988)149850
99.9%
ValueCountFrequency (%)
-4.1538987961
< 0.1%
-4.1027684961
< 0.1%
-4.0749224081
< 0.1%
-4.07212171
< 0.1%
-4.0697420291
< 0.1%
-4.0675990181
< 0.1%
-4.0619256272
< 0.1%
-4.0569647191
< 0.1%
-4.0515947481
< 0.1%
-4.0506475381
< 0.1%
ValueCountFrequency (%)
11.147668611
< 0.1%
5.2497497851
< 0.1%
5.2495721371
< 0.1%
5.232337221
< 0.1%
5.2286021351
< 0.1%
5.2115314281
< 0.1%
5.2022672491
< 0.1%
5.1548222121
< 0.1%
5.1487952431
< 0.1%
5.1407870751
< 0.1%

v_14
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION

Distinct143998
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0006882314377
Minimum-6.546555965
Maximum8.658417877
Zeros0
Zeros (%)0.0%
Negative63783
Negative (%)42.5%
Memory size1.1 MiB
2021-12-29T10:03:06.844712image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-6.546555965
5-th percentile-2.109160871
Q1-0.4370336682
median0.1412459925
Q30.6803780745
95-th percentile1.365639579
Maximum8.658417877
Range15.20497384
Interquartile range (IQR)1.117411743

Descriptive statistics

Standard deviation1.038685151
Coefficient of variation (CV)-1509.209104
Kurtosis2.393525934
Mean-0.0006882314377
Median Absolute Deviation (MAD)0.5573812386
Skewness-1.186355325
Sum-103.2347157
Variance1.078866844
MonotonicityNot monotonic
2021-12-29T10:03:06.930588image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00301493659920
 
< 0.1%
-2.29034371516
 
< 0.1%
1.0274867315
 
< 0.1%
-3.05944411915
 
< 0.1%
-1.33041248415
 
< 0.1%
0.869586171115
 
< 0.1%
-0.550825834814
 
< 0.1%
-2.48878148514
 
< 0.1%
0.979706133414
 
< 0.1%
1.16244764812
 
< 0.1%
Other values (143988)149850
99.9%
ValueCountFrequency (%)
-6.5465559651
< 0.1%
-6.1247084981
< 0.1%
-6.1232919141
< 0.1%
-6.1132913041
< 0.1%
-6.0661073981
< 0.1%
-6.0637696591
< 0.1%
-6.0542161291
< 0.1%
-6.0422934991
< 0.1%
-6.0390438111
< 0.1%
-6.032871481
< 0.1%
ValueCountFrequency (%)
8.6584178771
< 0.1%
2.7439927171
< 0.1%
2.7294424871
< 0.1%
2.6973647261
< 0.1%
2.6288654621
< 0.1%
2.6101312281
< 0.1%
2.5970031081
< 0.1%
2.5944836251
< 0.1%
2.5896900851
< 0.1%
2.5892340921
< 0.1%

Interactions

2021-12-29T10:01:25.988627image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:26.126335image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:26.255736image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:26.385655image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:26.505597image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:26.630118image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:26.747868image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:26.870291image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:27.052387image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:27.225094image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:27.398484image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:27.581206image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:27.750533image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:27.886144image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:28.037718image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:28.165214image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:28.297406image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:28.444224image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:28.577455image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:28.710494image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:28.840967image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:28.972644image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:29.099769image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:29.236274image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:29.364339image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:29.489592image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:29.618961image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:29.742818image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:29.893782image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:30.042992image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:30.179594image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:30.313024image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:30.450942image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:30.586156image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:30.720912image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:30.854258image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:31.001843image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:31.145259image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:31.280644image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:31.413068image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:31.550618image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:31.697502image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:31.830672image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:31.964596image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:32.216425image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:32.346051image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:32.479869image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:32.611694image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:32.755834image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:32.893294image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:33.053158image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:33.197148image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:33.349360image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:33.481190image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:33.609125image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:33.739929image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:33.867630image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:33.994514image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:34.117207image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:34.244774image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:34.364637image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:34.482030image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:34.605910image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:34.730232image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:34.853473image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:34.989390image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:35.120774image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:35.286635image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:35.422569image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:35.547820image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:35.694117image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:35.833016image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:35.995929image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:36.130575image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:36.258142image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:36.391018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:36.524093image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:36.647025image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:36.780865image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:36.904657image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:37.031984image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:37.152877image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:37.276620image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:37.405504image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:37.533627image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:37.660222image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:37.785735image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:37.903195image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:38.020226image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:38.141295image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:38.421281image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:38.547908image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:38.669075image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:38.804862image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:38.957997image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:39.102050image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:39.230049image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:39.363892image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:39.487950image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:39.613828image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:39.747170image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:39.886806image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:40.021348image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:40.138631image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:40.257044image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:40.376033image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:40.495194image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:40.614234image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:40.727334image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:40.862843image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:40.994249image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:41.125757image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:41.251253image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:41.378732image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:41.507149image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:41.629460image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:41.755544image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:41.882958image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:42.016727image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:42.141079image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:42.268036image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:42.393218image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:42.519142image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:42.643038image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:42.774661image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:42.900038image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:43.028415image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:43.160123image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:43.290828image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:43.423346image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:43.549714image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:43.674882image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:43.799244image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:43.924132image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:44.053629image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:44.179793image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:44.308056image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:44.434336image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:44.559920image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:44.677229image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:44.811004image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:44.935666image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:45.054053image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:45.178037image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:45.308091image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:45.430774image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:45.731323image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:45.859514image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:45.992288image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:46.110835image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:46.232799image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:46.358137image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:46.478810image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:46.600827image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:46.724235image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:46.842739image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:46.967132image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:47.088632image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:47.210641image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:47.331970image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:47.457507image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:47.582093image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:47.702277image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:47.827456image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:47.952376image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:48.071916image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:48.190518image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:48.308119image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:48.423130image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:48.537616image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:48.658807image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:48.777254image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:48.898658image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:49.023046image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:49.153933image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:49.276227image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:49.394304image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:49.518557image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:49.641521image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:49.762714image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:49.879863image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:50.015543image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:50.142390image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:50.272083image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:50.395364image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:50.513786image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:50.632592image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:50.753353image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:50.875559image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:50.994660image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:51.123327image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:51.252299image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:51.379174image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:51.499915image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:51.626260image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:51.746590image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:51.868399image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:51.995770image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:52.123193image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:52.248996image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:52.384477image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:52.507229image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:52.628677image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:52.755023image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:52.878095image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:53.010295image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:53.136155image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:53.261508image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:53.389458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:53.515072image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:53.645096image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:53.766715image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:53.889452image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:54.015811image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:54.366796image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:54.492199image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:54.616686image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:54.743497image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:54.873130image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:54.997350image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:55.120958image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:55.248208image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:55.368662image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:55.488503image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:55.614764image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:55.741305image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:55.865385image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:55.987113image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:56.110088image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:56.228395image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:56.348720image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:56.466533image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:56.589977image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:56.709234image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:56.834386image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:56.959752image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:57.081829image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:57.208511image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:57.326630image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:57.450131image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:57.570899image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:57.693000image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:57.816800image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:57.936814image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:58.066833image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:58.198444image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:58.329763image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:58.454640image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:58.584620image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:58.707969image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:58.828842image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:58.959958image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:59.088057image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:59.212343image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:59.336827image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:59.463128image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:59.590873image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:59.717183image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:59.843103image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:01:59.974418image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:00.102397image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:00.232846image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:00.366519image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:00.496966image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:00.631752image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:00.761511image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:00.887524image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:01.013595image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:01.141470image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:01.270504image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:01.393568image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:01.515099image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:01.638379image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:01.771402image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:01.900463image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:02.021638image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:02.134248image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:02.256938image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:02.379018image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:02.507412image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:02.625888image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:02.744740image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:02.867651image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:02.986545image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:03.105571image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:03.225702image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:03.348432image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:03.467301image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:03.587268image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:03.710332image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:03.833021image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:03.961927image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:04.079294image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:04.195942image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:04.314059image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:04.432734image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:04.552600image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:04.672114image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:04.793715image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:05.191802image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:05.312520image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:05.428975image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:05.549387image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:05.665201image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:05.779743image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:05.900445image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:06.018138image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:06.142059image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:06.259110image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:06.376659image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:06.492919image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:06.611596image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:06.732059image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:06.855855image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:06.974640image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:07.093976image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:07.219763image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:07.344501image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:07.468851image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:07.585841image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:07.701951image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:07.822810image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:07.942950image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:08.062469image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:08.183830image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:08.306969image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:08.429569image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:08.548366image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:08.663916image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:08.780268image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:08.898804image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:09.011371image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:09.129237image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:09.248456image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:09.368166image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:09.490829image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:09.611001image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:09.729149image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:09.845851image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:09.961109image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:10.083262image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:10.200665image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:10.321496image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:10.440957image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:10.564900image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:10.689157image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:10.805556image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:10.919931image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:11.035852image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:11.152761image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:11.270326image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:11.386633image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:11.509611image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:11.637109image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:11.757757image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:11.873280image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:11.994561image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:12.109028image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:12.223814image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:12.342841image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:12.465193image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:12.587750image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:12.713374image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:12.832845image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:12.950387image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:13.067707image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:13.188797image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:13.310207image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:13.427025image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:13.544595image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:13.664316image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:13.793727image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:13.920022image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:14.038094image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:14.152950image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:14.269120image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:14.386704image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:14.508076image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:14.626753image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:14.756093image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:14.882730image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:15.005232image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:15.122429image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:15.239286image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:15.356417image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:15.471447image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:15.591622image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:15.713423image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:15.833088image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:15.953007image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:16.072690image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:16.187376image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:16.299748image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:16.413921image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:16.531411image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:16.647425image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:16.771503image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:16.890594image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:17.010638image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:17.139641image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:17.253040image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:17.368900image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:17.484546image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:17.601815image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:17.723379image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:17.840468image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:17.969662image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:18.437229image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:18.563696image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:18.686166image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:18.810474image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:18.929395image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:19.050835image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:19.176147image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:19.306993image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:19.431749image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:19.555372image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:19.682970image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:19.825610image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:19.944481image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:20.065519image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:20.200507image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:20.328547image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:20.461979image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:20.591048image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:20.722572image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:20.856445image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:20.985838image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:21.107521image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:21.230196image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:21.352424image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:21.484759image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:21.605258image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:21.725909image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:21.848894image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:21.967314image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:22.079988image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:22.196217image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:22.307394image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:22.421757image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:22.543305image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:22.668163image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:22.797706image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:22.922807image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:23.047230image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:23.164629image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:23.281840image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:23.398828image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:23.523753image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:23.641408image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:23.762052image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:23.881120image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:24.001208image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:24.125381image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:24.240701image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:24.354536image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:24.470913image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:24.587731image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:24.707688image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:24.830585image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:24.958794image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:25.087480image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:25.211124image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:25.334670image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:25.458540image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:25.579082image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:25.699378image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:25.833626image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:25.960750image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:26.086329image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:26.209639image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:26.330968image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:26.450763image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:26.570867image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:26.690024image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:26.815281image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:26.940503image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:27.063073image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:27.185925image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:27.309165image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:27.436130image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:27.555285image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:27.677106image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:27.798000image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:27.919046image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:28.046015image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:28.170464image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:28.300153image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:28.429892image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:28.556382image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:28.679819image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:28.803767image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:28.923146image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:29.044186image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:29.175663image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:29.302367image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:29.427545image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:29.551728image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:29.674074image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:29.799037image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:29.921880image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:30.044656image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:30.173525image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:30.298112image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:30.422775image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:30.552774image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:30.686158image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:30.815970image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:30.938735image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:31.060884image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:31.186383image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:31.313443image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:31.441628image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:31.570210image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:31.702889image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:31.844756image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:31.980147image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:32.104865image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:32.233603image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:32.350901image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:32.482833image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:32.630171image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:32.764385image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:32.892294image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:33.020954image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:33.148161image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:33.278369image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:33.403406image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:33.544879image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:33.692723image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:33.828365image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:33.974468image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:34.109369image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:34.244406image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:34.385577image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:35.017841image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:35.153995image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:35.289374image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:35.427574image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:35.567468image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:35.702278image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:35.872951image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:36.034811image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:36.175572image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:36.327453image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:36.459728image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:36.582812image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:36.707299image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:36.844386image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:36.982386image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:37.111728image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:37.242528image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:37.369888image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:37.496795image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:37.625419image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:37.760419image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:37.916595image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:38.054944image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:38.192477image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:38.328153image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:38.474201image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:38.609012image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:38.746965image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:38.887135image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:39.039782image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:39.170215image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:39.300876image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:39.426357image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:39.551873image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:39.673188image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:39.794770image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:39.909388image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:40.027366image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:40.147160image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:40.264997image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:40.389483image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:40.513133image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:40.635014image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:40.758612image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:40.877163image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:41.003469image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:41.125286image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:41.248353image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:41.372089image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:41.490009image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:41.610939image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:41.730642image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:41.853972image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:41.976927image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:42.093985image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:42.210657image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:42.329820image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:42.449407image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:42.568123image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:42.683152image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:42.804219image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:42.928023image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:43.047077image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:43.159635image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:43.276447image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:43.393103image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:43.512957image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:43.633533image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:43.754001image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:43.875034image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:43.991669image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:44.109531image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:44.225607image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:44.341224image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:44.458342image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:44.580304image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:44.695265image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:44.810907image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:44.929490image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:45.048963image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:45.171349image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:45.285921image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:45.398832image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:45.514863image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:45.633415image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:45.757765image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:45.875814image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:46.000436image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:46.124523image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:46.243192image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:46.361991image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:46.482770image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:46.599024image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:46.718672image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:46.841878image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:46.963791image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:47.084878image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:47.202174image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:47.319668image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:47.436604image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:47.554188image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:47.668812image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:47.789276image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:47.908535image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:48.026668image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:48.145235image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:48.266183image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:48.389414image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:48.506906image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:48.622973image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:48.740551image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:48.856941image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:48.981580image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:49.099978image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:49.224962image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:49.348202image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:49.468640image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:49.585087image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:49.705364image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:49.824567image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:49.939549image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:50.062042image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:50.185184image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:50.307894image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:50.427312image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:50.548130image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:50.664432image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:50.793408image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:50.909517image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:51.030711image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:51.149695image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:51.268822image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:51.391918image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:51.510895image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:51.634999image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:51.755112image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:51.872119image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:51.987870image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:52.105652image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:52.228926image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:52.348957image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:52.478931image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:52.610047image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:52.734017image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:52.852122image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:52.977967image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:53.095915image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:53.216127image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:53.344608image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:53.471636image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:53.599833image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:53.723043image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:53.848203image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:53.965756image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:54.084442image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:54.205797image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:54.330907image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:54.454973image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:54.576601image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:54.703676image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:55.339901image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:55.470984image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:55.598674image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:55.722404image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:55.844607image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:55.966762image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:56.090889image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:56.211135image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:56.339319image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:56.466356image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:56.599237image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:56.715842image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:56.840031image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:56.956336image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:57.075517image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:57.200184image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:57.323881image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:57.448998image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:57.572035image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:57.696845image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:57.818944image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:57.937147image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:58.057802image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:58.182167image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:58.302005image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:58.426500image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:58.554043image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:58.680442image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:58.814897image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:58.935678image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:59.055356image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:59.179064image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:59.303078image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-12-29T10:02:59.426605image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Correlations

2021-12-29T10:03:07.051438image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-12-29T10:03:07.253877image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-12-29T10:03:07.454113image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-12-29T10:03:07.656357image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2021-12-29T10:03:07.809465image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2021-12-29T10:02:59.648108image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
A simple visualization of nullity by column.
2021-12-29T10:03:00.321510image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2021-12-29T10:03:00.836065image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2021-12-29T10:03:01.047168image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

SaleIDnameregDatemodelbrandbodyTypefuelTypegearboxpowerkilometernotRepairedDamageregionCodesellerofferTypecreatDatepricev_0v_1v_2v_3v_4v_5v_6v_7v_8v_9v_10v_11v_12v_13v_14
007362004040230.061.00.00.06012.50.010460020160404185043.3577963.9663440.0502572.1597441.1437860.2356760.1019880.1295490.0228160.097462-2.8818032.804097-2.4208210.7952920.914762
1122622003030140.012.00.00.0015.0-43660020160309360045.3052735.2361120.1379251.380657-1.4221650.2647770.1210040.1357310.0265970.020582-4.9004822.096338-1.030483-1.7226740.245522
221487420040403115.0151.00.00.016312.50.028060020160402622245.9783594.8237921.319524-0.998467-0.9969110.2514100.1149120.1651470.0621730.027075-4.8467491.8035591.565330-0.832687-0.229963
337186519960908109.0100.00.01.019315.00.04340020160312240045.6874784.492574-0.0506160.883600-2.2280790.2742930.1103000.1219640.0333950.000000-4.5095991.285940-0.501868-2.438353-0.478699
4411108020120103110.051.00.00.0685.00.069770020160313520044.3835112.0314330.572169-1.5712392.2460880.2280360.0732050.0918800.0788190.121534-1.8962400.9107830.9311102.8345181.923482
551376422009060224.0100.01.00.010910.00.036900020160319800046.323165-3.2292850.156615-1.727217-0.3456900.2602460.0005180.1198380.0909220.0487691.885526-2.7219432.457660-0.2869730.206573
6624021999041113.040.00.01.015015.00.030730020160317350046.1043354.9262190.1133111.644606-1.2703810.2679980.1176750.1423340.0254460.028174-4.9022001.610616-0.834605-1.996117-0.103180
771653461999070626.0141.00.00.010115.00.040000020160326100042.255586-3.167771-0.6766931.9426730.5242060.2395060.0000000.1229430.0398390.0824133.693829-0.245014-2.1928100.2367280.195567
8829742003020519.012.01.01.017915.00.046790020160326285046.0848884.8937170.4753330.556575-1.2624900.2638330.1165830.1442550.0398510.024388-4.9252341.5877960.075348-1.5510980.069433
9982021199801017.075.00.00.08815.00.0302002016040265043.0746261.666386-2.2015453.0968610.8438520.2624730.0682670.0121760.0102910.098727-1.0895840.600683-4.1862100.198273-1.025822

Last rows

SaleIDnameregDatemodelbrandbodyTypefuelTypegearboxpowerkilometernotRepairedDamageregionCodesellerofferTypecreatDatepricev_0v_1v_2v_3v_4v_5v_6v_7v_8v_9v_10v_11v_12v_13v_14
149990149990346612001120741.061.00.00.0608.00.06068002016033145041.583949-3.180839-0.9795533.0723641.8357410.2297190.0000000.1156740.0266960.1236344.0844780.243821-3.5052391.2857900.856962
149991149991549592012040147.015.00.01.02115.00.0422500201603212495048.7281805.6140350.703266-3.768265-1.3472440.2792640.1259220.0688980.0953200.012592-7.088874-0.4253714.044331-0.6338290.586724
1499921499921834992000120632.081.00.00.08215.00.05102002016030995041.993906-3.126642-0.7958361.8089471.2032260.2347360.0000000.1058340.0420960.1024353.735963-0.176973-2.3532030.998859-0.085879
1499931499937208720041103184.0110.01.00.01402.00.05190020160324439944.175418-3.045687-0.886965-1.3924490.4484690.2553490.0004130.0414390.0824650.0742472.374701-2.1962980.6429200.900097-0.721607
149994149994430732012010742.011.00.00.01223.00.0505300201603241478047.0551214.7332811.851484-1.8850761.2199550.2351290.1146280.1703230.0803250.091744-5.1382971.4424912.8125790.951352-1.600794
14999514999516397820000607121.0104.00.01.016315.00.045760020160327590045.316543-3.139095-1.269707-0.736609-1.5058200.2802640.0003100.0484410.0711580.0191741.988114-2.9839730.589167-1.304370-0.302592
14999614999618453520091102116.0110.00.00.012510.00.028260020160312950045.972058-3.143764-0.023523-2.3666990.6980120.2532170.0007770.0840790.0996810.0793711.839166-2.7746152.5539940.924196-0.272160
1499971499971475872010100360.0111.01.00.0906.00.033020020160328750044.733481-3.1057210.595454-2.2790911.4236610.2333530.0007050.1188720.1001180.0979142.439812-1.6306772.2901971.8919220.414931
149998149998459072006031234.0103.01.00.015615.00.018770020160401499945.658634-3.204785-0.441680-1.1798120.6206800.2563690.0002520.0814790.0835580.0814982.075380-2.6337191.4149370.431981-1.659014
1499991499991776721999020419.0286.00.01.019312.50.02350020160305470045.536383-3.200326-1.612893-0.067144-1.3961660.2844750.0000000.0400720.0625430.0258191.978453-3.1799130.031724-1.483350-0.342674